Assessing the Safety of Early Repatriation for Stable ST-Segment Elevation Myocardial Infarction Patients After Primary Percutaneous Coronary Intervention
Bibliographic record
Abstract
Background Repatriation of ST-segment elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (PPCI) is common in regional health care programs. We examined the short- and long-term safety of early repatriation after PPCI in stable STEMI patients. Methods Consecutive stable STEMI patients undergoing PPCI between 2016 to 2018 in the Fraser Health Authority were included. Outcomes were compared between early and nonrepatriated cohorts. Co-primary outcomes were a composite of death, myocardial infarction, congestive heart failure, and stroke at 30 days and 1 year. Logistic regression analyses were performed to determine association between early repatriation and outcomes, and to assess impact of transfer to cardiologist- vs internist-based care centres. Results A total of 788 patients were included, with 62% being repatriated early. Primary composite and individual outcomes rates were similar between both cohorts. Early repatriation was not an independent predictor of 30-day (odds ratio [OR] 0.93, 95% confidence interval [CI] 0.50-1.72; P = 0.82) or 1-year (OR 1.05, 95% CI 0.67-1.65; P = 0.8) primary outcome, or of 30-day (OR 1.35, 95% CI 0.41-4.47, P = 0.63) or 1-year (OR 1.03, 95% CI 0.44-2.40; P = 0.95) mortality. Among early repatriated patients, transfer to cardiologist- vs internist-based care centres was not an independent factor for 30-day (OR 1.07, 95% CI 0.45-2.54; P = 0.87) or 1-year (OR 1.17, 95% 0.55-2.50, P = 0.69) primary outcome. Conclusions Early repatriation of stable STEMI patients after PPCI appears to be safe based on short- and long-term outcomes, and transfer to internist- vs cardiology-based centres did not affect outcomes. After PPCI, early repatriation allows for redistribution of stable STEMI patients to lower-acuity settings across regional hospitals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".